Abstract

This paper contributes to the current and controversial debate about costs and benefits of conservatism in financial reporting. It presents a formalization of conservatism of an information system and shows that, holding precision constant, an increase of the probability of bad signals reduces their information content. This can make the interpretation of bias as conservative or aggressive ambiguous. It has also consequences for the association of market returns and earnings, which is used in empirical estimates of accounting conservatism. The paper discusses several models that show economic benefits of conservatism.